ReaDI Program | Resources
The Research and Data Integrity (ReaDI) program
provides a number of tools to ensure robust data and research
integrity. The ReaDI program provides resources, outreach
and consultation to researchers at all stages in their careers. Learn
more about the ReaDI Program here.
many Columbia faculty and staff, including members of the University's Standing Committee on the Conduct of Research. We greatly appreciate their support. These materials are not intended to dictate particular practices. Rather, they provide suggestions and recommendations for ways to structure and manage aspects of research, so that principal investigators and researchers can develop the approaches that work best for them.
We would greatly appreciate your feedback. Please take a moment to fill out our survey.
New! Rigor and Reproducibility Overview
NIH Rigor and Reproducibility Presentation by Michelle Benson and Stephanie Scott (last updated September 2016)
- Good Laboratory Notebook Practices
- Best Practice for Data Management when Using Instrumentation
- Guidelines on the Organization of Samples in a Laboratory
- Options for data storage, transfer and sharing for Columbia's researchers (last updated 10/10/16)
- LabArchives - Electronic Lab Notebooks for Columbia Researchers
- "Data-to-Figure" Template
These are useful for anybody conducting research, mentoring researchers or planning to lead a research group
- "Making the Right Moves" from Howard Hughes Medical Institute
- "On Being a Scientist: Guides to Responsible Conduct in Research (3rd ed.)" from Committee on Science, Engineering, and Public Policy; Institute of Medicine; National Academy of Sciences; National Academy of Engineering
For researchers who acquire images and use image manipulation software (such as Photoshop)
- Online Learning Tool for Research Integrity and Image Processing from ORI
- "Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate use and Manipulation of Scientific Digital Images" by Douglas Cromey
- "Seeing is Believing? A Beginner's Guide to Practical Pitfalls in Image Acquisition" by Alison North
- "What's in a Picture? The Temptation of Image Manipulation" by Mike Rossner and Kenneth M. Yamada [specific for blots, gels and micrographs]
Biological (Biomedical) Sciences and Research
Federation of American Societies for Experimental Biology
Enhancing Research Reproducibility is a collection of recommendations from FASEB that resulted from roundtable discussions. This document discusses overarching topics, mouse and other animal models, and antibodies.
- Criteria for Biological Reproducibility: What does "n" Mean?
- An Analysis of Critical Factors for Quantitative Immunoblotting
- Quantitative Mass Spectrometry of Posttranslational Modifications: Keys to Confidence
- Good Practices for Building Dynamical Models in Systems Biology
- Points of Significance is a monthly column on statistics that are targeted toward researchers in biology. Some topics include: core statistical concepts and methods, experimental design, replication, and many more!
- Statistics for Biologists: a collection of articles addressing important statistical issues that biologists should be aware of, also include practical advice to improve rigor of their work (text adapted from Nature).
- "Computing Workflow for Biologist: A Roadmap" by Ashley Shade and Tracey K. Teal
GBSI is a non-profit organization dedicated to enhancing the quality of biomedical research by advocating best practices and standards to accelerate the translation of research breakthroughs into life-saving therapies (text adapted from GBSI). GBSI has assembled some key publications.
Back to top
Chemical Probes, Biomarkers and Western Blots
- "The Promise and Peril of Chemical Probes" by
Cheryl H. Arrowsmith, et. al.
- Biomarkers, EndpointS, and Other Tools (BEST) Resource from NIH and FDA
- Optimizing Western Blotting Procedures for Improved
Reproducibility presentation by Sally Mulford
- "Changing the Culture of Cell Culture: Applying Best Practices and Authentication to Ensure Scientific Reproducibility" by Leonard P. Freedman, Mark C. Gibson and Richard M. Neve
- "Recommendation of Short Tandem Repeat Profiling for Authenticating Human Cell Lines, Stem Cells and Tissues" by Rita Barallon, et. al.
- "A Few Things You Wanted to Know about Cell Authentication but were Embarrassed to Ask" by Beth Schachter
- "Cell Line Authentication Demystified" by Vivien Marx
- "Mouse Cell Line Authentication" by Jamie L.
Almeida, Carolyn R. Hill and Kenneth D. Cole
- ICLAC (International Cell Line Authentication Committee)
- "Antibody Validation" by Jennifer Bordeaux, et. al.
- "Standardize Antibodies used in Research" by
Andrew Bradbury and Andreas Pluckthun
- "Improving Reproducibility: Best Practices for
- "Improving Bioscience Research Reporting: The ARRIVE
for Reporting Animal Research" by Carol Kilkenny, et. al.
- "Studying Both Sexes: A Guiding Principle for Biomedicine" by Janine Austin Clayton
- Methods and Techniques for Integrating the Biological Variable Sex into Preclinical Research from NIH
- NIH Reviewer's Decision Tree
- Background, Methods, Checklists and Case Studies from Gendered Innovations at Stanford University
- "NIH Initiative to Balance Sex of Animals in Preclinical Studies: Generative Questions to Guide Policy, Implementation and Metrics" by Louise D. McCullough, et. al.
- "First Steps for Integrating Sex and Gender Consideration into Basic Experimental Biomedical Research" by Stacey A. Ritz, et. al.
- "Strategies and Methods for Research on Sex Differences in Brain and Behavior" by Jill B. Beck, et. al.
Statistics and Computational Research
- Center for Open Science (COS) is part of the Open Science Framework (OSF), which has developed a series of online workshops as part of their statistical and methodological consulting services. These materials are free and can be found on their website. The webinars are also available on OSF's YouTube Channel.
- "Reproducing Statistical Results" by Victoria Stodden
- Reproducible Research: Tools and Strategies for Scientific Computing A workshop in association with Applied Mathematics Perspectives
Health Sciences and Clinical Research
Mixed Methods and Qualitative Research
- "Assessing Quality in Qualitative Research" by Nicholas Mays and Catherine Pope
- "Analyzing Qualitative Data" by Catherine Pope, Sue Ziebland and Nicholas Mays
- "Using Qualitative Methods in Heath Related Action Research" by Julienne Meyer
- Best Practices for Mixed Methods Research in the Health Sciences from OBSSR (NIH)
- "Qualitative and Mixed Methods Provide Unique Contributions to Outcomes Research" by Leslie A. Curry, Ingrid M. Nembhard and Elizabeth H. Bradley
- "Mixed Methods in Biomedical and Health Services Research" by Leslie A. Curry, et. al.
on Performing Focused Ethnographies with an Emphasis on
Healthcare Research" by Gina M. A. Higgenbottom, et. al.
- Compilation of suggested practices for creation of a retrospective chart review form
- "The Retrospective Chart Review: Important Methodological Considerations" by Matt Vasser and Matthew Holzmann
- Principles and Guidelines for Reporting Preclinical Research from NIH
- "A Multidisciplinary Approach to Ensure Scientific Integrity in Clinical Research" by Ko Bando, et. al.
- CONSORT (Consolidated Standard of Reporting Trials)
- STROBE (Strengthening the Reposting of OBservational studies in Epidemiology)
INSPIRE (International Network for Simulation-based Pediatric Innovation, Research and Education) has collaborated with global partners to develop extensions specific to simulation-based research for both the CONSORT and STROBE statements (above).
- INSPIRE Checklist
- "Learn, See, Practice, Prove, Do, Maintain: an Evidence-Based Pedagogical Framework for Procedural Skill Training in Medicine" by Taylor Sawyer, Marjorie L. White, et. al.
- "A Joint Leap into a Future of High-Quality Simulation
Research - Standardizing the Reporting of Simulation Science" by
Nick Sevdalis, Debra Nestel, et. al.
- Guide to Social Science Data Preparation and Archiving from ICPSR
- Social, Behavioral, and Economic Sciences Perspectives on Robust and Reliable Science from NSF
- "Social Science Research: Principles, Methods and
Practices" by Anol Bhattacherjee
Tools and Best Practices for Avoiding Plagiarism and Managing Citations
Accidental plagiarism is often the result of poor note-taking or improperly citing a reference when paraphrasing (read about: Confessions of an Accidental Plagiarist). Below are some resources for avoiding plagiarism and managing citations.
Understand What Plagiarism is and How to Avoid It
There are many resources that can help researchers recognize and avoid plagiarism. Columbia's Graduate School of Arts and Sciences website on academic integrity has compiled several of these. See GSAS Resources for more information.
Indiana University has created comprehensive tutorials and an exam regarding plagiarism. The exam may be a useful risk assessment tool. See Indiana University Resources.
Manage Source and Citations Systematically
Sometimes plagiarism results from mismanaged or improper citation and source management. Citation management software can help avoid such problems. These tools help researchers keep track of sources and citations. An overview of various tools is available on Columbia's Library website. Many are free downloads with a Columbia UNI. Software providers have published tutorials to help troubleshoot and utilize software to full potential:
RCT's misconduct site.
Back to top
Lab Management Resources
- Laboratory Checklist for Departing Researchers (.docx) or (.pdf)
- Telephone Interview Outline for Hiring Postdocs, Staff Scientists, Technicians, etc. (.docx) or (.pdf)
- Example Laboratory and Notebook Procedures from Columbia PIs and Other PIs
Back to top